CN103176894A - Test data automatic derivative method and automatic derivative device facing database - Google Patents
Test data automatic derivative method and automatic derivative device facing database Download PDFInfo
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Abstract
The invention provides a test data automatic derivative method and an automatic derivative device facing a database. The test data automatic derivative method facing the database includes the steps of configuring derivative strategies, generating commands, executing the commands, and obtaining target data from basic data, wherein the target data are used as test data.
Description
Technical field
The present invention relates to computer software testing, and relate in particular to a kind of test data automatic derivatization method and apparatus of data base-oriented.
Background technology
In software development process, system testing is an indispensable part in SDLC normally, and the quality direct relation of test the quality of system.In real test process, the division of test-types is varied, and white-box testing, Black-box Testing, functional test, performance test etc. are arranged.Therefore, in test process, also different to the demand of test data.
At present, the main generation means of lot of domestic and foreign software test data are manual modes.The preparation of test data is all relied in artificial writing.But manual type only can be tackled simple functional test; When the data volume of the test data that will write based on test cases very large, perhaps require test data to produce various variations, when perhaps test data must satisfy some certain logic relation and adapts to various test scenes and test cases, generate test data by manual type, usually can't produce at short notice a large amount of test datas, the establishment of each data all needs manual intervention, and the tester has also been proposed highly difficult requirement, so test will take time and effort very much and testing efficiency is lower.In this case, the craft of test data prepares to become the bottleneck in software test procedure.
The automatic derivatization of test data can improve this ink-bottle effect in software test procedure greatly.Application number is that 02139613.2 the disclosed automatic generation of test data of Chinese patent application has proposed a kind of automatic generation method towards Program path, this method by input interface, lexical analyzer, syntax analyzer, constraint constructor, constraint solver, path satisfy detector, output interface module realizes that test data generates automatically, the method comprises following 4 steps:
(1) user is from initial value and increment and other parameter value of input interface designated program path W, each input variable, as all predicate functions on W whether be the linear function of input variable, when certain predicate function on W is the nonlinear function of input variable iterative the number of times upper limit and when comprising read statement in having black box and black box on W, according to the number of the input variable in the black box of the interface specification defined of black box and data type of each input variable etc.;
(2) after lexical analyzer carries out lexical analysis to W, syntax analyzer carries out grammatical analysis according to the result of lexical analysis to W, W is converted to constraint constructor and path satisfies scrutiny program, the constraint constructor produces the constraint constructor through compiling, and the path is satisfied scrutiny program and produced the path through compiling and satisfy detector;
(3) the constraint constructor is according to the statement on the increment execution W of present procedure input and each input variable, do not analyze the data dependence relation between the statement on W, the linear arithmetic of upper each predicate function of structure W represents, then sets up the linear constraint system of input variable;
(4) the constraint solver method that adopts linear programming, linear integer programming, linear mixed integer programing and least square solution to combine is found the solution this linear constraint system: if the user specifies predicate function on W to be the linear function of input variable, adopt linear programming, linear integer programming, linear mixed integer programing method to find the solution; If the user specifies the nonlinear function that contains input variable in predicate function on W, first adopt linear programming, linear integer programming, linear mixed integer programing method to find the solution, if can't find solution, this linear constraint system is converted to linear equation system, ask its least square solution; Finding the solution the new program input of rear acquisition is test data; Satisfy detector inspection by the path at last, if the input of this program can make W by through finishing, if this program input can not make W be determined whether to continue iterative by the linear function and the iterations upper limit that through all predicate functions upper according to W are whether input variable; Solving result is exported by output interface.
The algorithm logic of said method is too complicated, and the method lacks certain simple and easy maneuverability in practice.
Application number is a kind of method that 200910147768.0 the disclosed automatic generation of test data of Chinese patent application has proposed embedded software test exploitation, and the method comprises following 8 steps:
(1) load testing scheme, described testing scheme is that according to characteristics and the test request of tested software, the input of clear and definite test development work forms according to the analysis to tested embedded software document;
(2) test environment configuration is configured according to the general parameter of testing scheme to embedded software automatic test environment, so that the test environment that generates configures adaptive automatic test platform better;
(3) crosslinked environmental modeling is namely completed the structure of cross-linking apparatus realistic model, generates the information of described cross-linking apparatus realistic model;
(4) test script is developed, and namely calls the information of described cross-linking apparatus realistic model, and the tested tissue process is selected the test script language, generates test script;
(5) test panel exploitation, use test panel plug-in unit allows the user to set up the test display panel by pulling in visual virtual instrument mode;
(6) test assignment management, use test task management plug-in unit is organized each test required realistic model file, test script file, the information such as test panel file neatly in the mode of test cell;
(7) generate the test configurations information of XML-based form and the description of test data;
(8) transfer to automatic test platform and carry out, test configurations information and the test data of the XML form that has soon generated are loaded into the fc-specific test FC platform, can drive test process, complete the automatic test of embedded software.
Said method for be embedded system, can't be applied on the application software system based on relevant database of enterprise-level, so there is certain limitation in its application.
Therefore, the test data automatic derivatization method and apparatus that needs a kind of data base-oriented.
Summary of the invention
For addressing the above problem, the invention provides a kind of test data automatic derivatization method of data base-oriented, comprise the following steps:
Configuration step, in this step,
List structure definition according to base data table and target matrix, the configure base tables of data is to the matching relationship of target matrix, wherein, above-mentioned base data table stores basic data, described target matrix is used for storage as the target data of test data, matching relationship comprises the coupling between base data table title and target matrix title, the coupling between base data table field name and target matrix field name
Configuration simple deformation strategy, the correspondence between this simple deformation policy definition base data table field value and target matrix field value,
Configuration logic remedies, this logic transition policy definition base data table field value be to the logic transition of target matrix field value,
The configuration data Reproductive Strategy, the field propagation logic of data Reproductive Strategy definition base data table and field breeding quantity;
Instruction generates step, in this step,
Generate the simple deformation instruction set according to the simple deformation strategy,
Change instruction set according to logic transition strategy formation logic,
According to data Reproductive Strategy generated data breeding instruction set;
Execution in step, in this step,
Derivative according to the one or more executing datas in described simple deformation instruction set, logic transition instruction set and data breeding instruction set, obtaining target data from basic data, and,
Described target data is write target matrix.
In above-mentioned disclosed scheme, described configuration step also comprises:
Configuration target data implementation mode;
In described execution in step, according to the target data implementation mode, described target data is write target matrix.
In above-mentioned disclosed scheme, described target data implementation mode comprises described target data is appended to write target matrix or described target data is covered and writes target matrix.
In above-mentioned disclosed scheme, described simple deformation policy definition carries out cutting to correspond to the target matrix field value to the base data table field value.
In above-mentioned disclosed scheme, the base data table field value of described logic transition policy definition comprises logic deterministic process and logic screening process to the logic transition of target matrix field value.
In above-mentioned disclosed scheme, described logic deterministic process comprises the value judgement of base data table field value and/or span judgement.
In above-mentioned disclosed scheme, described logic screening process comprises the total head coupling screening of base data table field value and/or fuzzy matching screening.
In above-mentioned disclosed scheme, the major key propagation logic of described data Reproductive Strategy definition base data table and major key breeding quantity.
In above-mentioned disclosed scheme, described execution in step is carried out simple deformation instruction set, logic transition instruction set and data breeding instruction set successively to obtain target data from basic data.
According to another object of the present invention, a kind of test data automatic derivatization device of data base-oriented is provided, comprising:
Dispensing unit is configured to:
The configure base tables of data is to the matching relationship of target matrix, wherein, above-mentioned base data table stores basic data, described target matrix is used for storage as the target data of test data, matching relationship comprises the coupling between base data table title and target matrix title, coupling between base data table field name and target matrix field name
Configuration simple deformation strategy, the correspondence between this simple deformation policy definition base data table field value and target matrix field value,
Configuration logic remedies, this logic transition policy definition base data table field value be to the logic transition of target matrix field value,
The configuration data Reproductive Strategy, the field propagation logic of data Reproductive Strategy definition base data table and field breeding quantity;
The instruction generation unit is configured to:
Generate the simple deformation instruction set according to the simple deformation strategy,
Change instruction set according to logic transition strategy formation logic,
According to data Reproductive Strategy generated data breeding instruction set;
Performance element is configured to:
Derivative according to the one or more executing datas in described simple deformation instruction set, logic transition instruction set and data breeding instruction set, obtaining target data from basic data, and,
Described target data is write target matrix.
In above-mentioned disclosed scheme, described dispensing unit also is configured to configure the target data implementation mode;
Described performance element also is configured to according to the target data implementation mode, described target data be write target matrix.
In above-mentioned disclosed scheme, described target data implementation mode comprises described target data is appended to write target matrix or described target data is covered and writes target matrix.
In above-mentioned disclosed scheme, described simple deformation policy definition carries out cutting to correspond to the target matrix field value to the base data table field value.
In above-mentioned disclosed scheme, the base data table field value of described logic transition policy definition comprises logic deterministic process and logic screening process to the logic transition of target matrix field value.
In above-mentioned disclosed scheme, described logic deterministic process comprises the value judgement of base data table field value and/or span judgement.
In above-mentioned disclosed scheme, described logic screening process comprises the total head coupling screening of base data table field value and/or fuzzy matching screening.
In above-mentioned disclosed scheme, the major key propagation logic of described data Reproductive Strategy definition base data table and major key breeding quantity.
In above-mentioned disclosed scheme, described performance element is carried out simple deformation instruction set, logic transition instruction set and data breeding instruction set successively to obtain target data from basic data.
The present invention proposes general for database table structure, can be used in white box, black box, can complete the test data automatic derivatization method and apparatus of functional test, performance test.The technical scheme flexible configuration of the generation of test data of the present invention can satisfy the needs that different test datas generate, and versatility and portable good, widely applicable.
Description of drawings
After the reference accompanying drawing had been read the specific embodiment of the present invention, those skilled in the art will become apparent various aspects of the present invention.One skilled in the art will appreciate that these accompanying drawings only are used for coordinating embodiment explanation technical scheme of the present invention, and be not to be intended to protection scope of the present invention is construed as limiting.
Fig. 1 is the step schematic diagram according to the test data automatic derivatization method of the data base-oriented of the embodiment of the present invention.
Fig. 2 is the schematic diagram according to the test data automatic derivatization device of the data base-oriented of the embodiment of the present invention.
Embodiment
With reference to the accompanying drawings, the specific embodiment of the present invention is described in further detail.
As shown in Figure 1, Fig. 1 is the step schematic diagram according to the test data automatic derivatization method of the data base-oriented of the embodiment of the present invention.The method comprises, configuration step, instruction generation step and execution in step.
In configuration step, list structure definition according to base data table and target matrix, the configure base tables of data is to the matching relationship of target matrix, wherein, above-mentioned base data table stores basic data, described target matrix is used for storage as the target data of test data, and matching relationship comprises the coupling between base data table title and target matrix title, the coupling between base data table field name and target matrix field name.The base data table of the database that system's operation relies on is corresponding to the basic data as test data.For new software system, basic data can be prepared by craft; For the system that has operated, can the control oneself data of system of running of basic data.In one example, can be according to the list structure definition of base data table and target matrix, to automatically carrying out Corresponding matching with file-name field; Can certainly the custom field corresponding relation.In this process, the extraction in base data table of configure base data comes the field of stopping in target matrix of source field and target data.Be appreciated that, above-mentioned base data table can be one or many, therefore the target matrix title can with the name-matches of or many base data table, the target matrix field name can from the base data table field name coupling from different base data table.The basic data that can comprise from different base data table as required thus, produces target data.
In configuration step, configuration simple deformation strategy.Correspondence between this simple deformation policy definition base data table field value and target matrix field value namely, is considered as the field value of the field of base data table the field value of the field of corresponding target matrix.This in one example, described simple deformation policy definition carries out cutting to correspond to the target matrix field value to the base data table field value.For example, according to this simple deformation strategy, in carrying out the test data derivatization process, the 2nd that can get the base data table field value corresponds to the target matrix field to the 8th place value.
In configuration step, the configuration logic remedies.This logic transition policy definition base data table field value namely, is completed the logic transition of base data table field value to the logic transition of target matrix field value.In one example, the base data table field value of described logic transition policy definition comprises logic deterministic process and logic screening process to the logic transition of target matrix field value.In an example, the logic deterministic process comprises the value judgement of base data table field value and/or span judgement.For example, according to this logic deterministic process, only extract basic data in carrying out the test data derivatization process in field A value be " abc " or field B value 100 basic data correspond to target matrix in field accordingly.In an example, described logic screening process can comprise the screening of total head coupling, fuzzy matching screening and the value screening to the base data table field value.For example, according to this logic screening process, in carrying out the test data derivatization process, for the field of character string type, can carry out the screening of total head coupling, fuzzy matching screening; For the field of integer class, can carry out＜, ,=,＜=,=etc. the value screening etc. of mode.
In configuration step, the configuration data Reproductive Strategy.The field propagation logic of data Reproductive Strategy definition base data table and field breeding quantity.In one example, the major key propagation logic of described data Reproductive Strategy definition base data table and major key breeding quantity.For example, major key numerical value self-propagation 1 or character string change (for example, the ASC II code value of end character adds 1), breed 1000.In other embodiments, can define the Reproductive Strategy of non-Major key.This process is completed basic data to the self-reproduction of target data.In carrying out the test data derivatization process, complete self-reproduction from basic data according to the data Reproductive Strategy.
Generate in step in instruction, generate the simple deformation instruction set according to the simple deformation strategy, change instruction set according to logic transition strategy formation logic, according to data Reproductive Strategy generated data breeding instruction set.Be appreciated that simple deformation instruction set, logic transition instruction set and data breeding instruction set is the set of a series of operation carried out for base data table, realizes by computer program.Be further appreciated that and adopt as required above-mentioned one or more instruction set that the basic data in base data table is operated.For base data table, these instruction set can be repeatedly performed, and when all command operatings are completed, can think that the data in the base data table that obtains through last operation are target data.As mentioned above, these instruction set also can operate for a plurality of base data table.
In execution in step, derivative according to the one or more executing datas in described simple deformation instruction set, logic transition instruction set and data breeding instruction set, to obtain target data from basic data.Here, " data derivative " can be one or more in the simple deformation, logic transition, data breeding of basic data.In one example, can carry out successively simple deformation instruction set, logic transition instruction set and data breeding instruction set to obtain target data from basic data; And, described target data is write target matrix.Thus, the target data that can store in the target matrix is carried out system testing as test data.As mentioned above, can also continue the basic data that the last operation that is considered as target data is completed repeat or repeatedly do not carry out above-mentioned one or more instruction set to produce other target data.In another embodiment, the target matrix that can also look the target data that stores generation is base data table, carries out the derivative of new round test data according to the collocation strategy of new formulation.
In another embodiment, described configuration step also comprises configuration target data implementation mode; In described execution in step, according to the target data implementation mode, described target data is write target matrix.In one example, described target data implementation mode comprises described target data is appended to write target matrix or described target data is covered and writes target matrix.Append and write the legacy data that refer to keep in target matrix, append carrying out target data thereafter; Covering writes the legacy data of refer to removing in target matrix, with newly-generated target data as the total data in target matrix.
Fig. 2 is the schematic diagram according to the test data automatic derivatization device of the data base-oriented of the embodiment of the present invention.The test data automatic derivatization device of data base-oriented comprises dispensing unit, instruction generation unit and performance element.Wherein, dispensing unit is configured to: the configure base tables of data is to the matching relationship of target matrix, wherein, above-mentioned base data table stores basic data, described target matrix is used for storage as the target data of test data, matching relationship comprises the coupling between base data table title and target matrix title, the coupling between base data table field name and target matrix field name; Configuration simple deformation strategy, the correspondence between this simple deformation policy definition base data table field value and target matrix field value; The configuration logic remedies, this logic transition policy definition base data table field value is to the logic transition of target matrix field value; Configuration data Reproductive Strategy, the field propagation logic of data Reproductive Strategy definition base data table and field breeding quantity.The instruction generation unit is configured to generate the simple deformation instruction set according to the simple deformation strategy; Change instruction set according to logic transition strategy formation logic; According to data Reproductive Strategy generated data breeding instruction set.It is derivative according to the one or more executing datas in described simple deformation instruction set, logic transition instruction set and data breeding instruction set that performance element is configured to, to obtain target data from basic data; And, described target data is write target matrix.
The test data automatic derivatization device of the data base-oriented according to the embodiment of the present invention as above, preferably, described dispensing unit also is configured to configure the target data implementation mode; Described performance element also is configured to according to the target data implementation mode, described target data be write target matrix.Preferably, described target data implementation mode comprises described target data is appended to write target matrix or described target data is covered and writes target matrix.Preferably, described simple deformation policy definition carries out cutting to correspond to the target matrix field value to the base data table field value.Preferably, the base data table field value of described logic transition policy definition comprises logic deterministic process and logic screening process to the logic transition of target matrix field value.Preferably, described logic deterministic process comprises value judgement and/or the span judgement to the base data table field value.Preferably, described logic screening process comprises the screening of total head coupling and/or the fuzzy matching screening to the base data table field value.Preferably, the major key propagation logic of described data Reproductive Strategy definition base data table and major key breeding quantity.Preferably, described performance element is carried out simple deformation instruction set, logic transition instruction set and data breeding instruction set successively to obtain target data from basic data.
Technical scheme provided by the invention is innovated from the automatic derivatization mode of test data.By configuration is derivative tactful neatly, make the automatic derivatization mode of test data only be coupled with the application system solution with database association.Further, target data can be as basic data in new round derivatization process, complete test data by the many constantly derivative and self-reproduction processes of few change, thereby greatly reduced the artificial treatment load, mode with robotization, the variation of the variation of adaptive testing data characteristics efficiently and performance test data pressure has improved testing efficiency.On the other hand, technical scheme provided by the invention makes the technician reduce the various test data of tissue variation, organize the artificial expense on a large amount of test datas, reduces the system testing cost.Another is convenient, because technical scheme provided by the invention is uncoupled with each application system, only depends on the database table design of system, has therefore also improved general applicability of the present invention, avoids the overlapping development that brings because of the variation of business demand.
By the description of above embodiment, those skilled in the art can be well understood to the present invention and can realize by the mode of software and/or hardware platform.Those skilled in the art can understand, in the situation that without departing from the spirit and scope of the present invention, can also do various changes and replacement to the specific embodiment of the present invention.These changes and replacement all drop in claims limited range of the present invention.
Claims (18)
1. the test data automatic derivatization method of a data base-oriented, is characterized in that, comprises the following steps:
Configuration step, in this step,
List structure definition according to base data table and target matrix, the configure base tables of data is to the matching relationship of target matrix, wherein, above-mentioned base data table stores basic data, described target matrix is used for storage as the target data of test data, matching relationship comprises the coupling between base data table title and target matrix title, the coupling between base data table field name and target matrix field name
Configuration simple deformation strategy, the correspondence between this simple deformation policy definition base data table field value and target matrix field value,
Configuration logic remedies, this logic transition policy definition base data table field value be to the logic transition of target matrix field value,
The configuration data Reproductive Strategy, the field propagation logic of data Reproductive Strategy definition base data table and field breeding quantity;
Instruction generates step, in this step,
Generate the simple deformation instruction set according to the simple deformation strategy,
Change instruction set according to logic transition strategy formation logic,
According to data Reproductive Strategy generated data breeding instruction set;
Execution in step, in this step,
Derivative according to the one or more executing datas in described simple deformation instruction set, logic transition instruction set and data breeding instruction set, obtaining target data from basic data, and,
Described target data is write target matrix.
2. the method for claim 1, is characterized in that,
Described configuration step also comprises:
Configuration target data implementation mode;
In described execution in step, according to the target data implementation mode, described target data is write target matrix.
3. method as claimed in claim 2, is characterized in that,
Described target data implementation mode comprises described target data is appended to write target matrix or described target data is covered and writes target matrix.
4. the method for claim 1, is characterized in that,
Described simple deformation policy definition carries out cutting to correspond to the target matrix field value to the base data table field value.
5. the method for claim 1, is characterized in that,
The base data table field value of described logic transition policy definition comprises logic deterministic process and logic screening process to the logic transition of target matrix field value.
6. method as claimed in claim 5, is characterized in that,
Described logic deterministic process comprises the value judgement of base data table field value and/or span judgement.
7. method as claimed in claim 5, is characterized in that,
Described logic screening process comprises the total head coupling screening of base data table field value and/or fuzzy matching screening.
8. the method for claim 1, is characterized in that,
The major key propagation logic of described data Reproductive Strategy definition base data table and major key breeding quantity.
9. the method for claim 1, is characterized in that,
Described execution in step is carried out simple deformation instruction set, logic transition instruction set and data breeding instruction set successively to obtain target data from basic data.
10. the test data automatic derivatization device of a data base-oriented, is characterized in that, comprising:
Dispensing unit is configured to:
The configure base tables of data is to the matching relationship of target matrix, wherein, above-mentioned base data table stores basic data, described target matrix is used for storage as the target data of test data, matching relationship comprises the coupling between base data table title and target matrix title, coupling between base data table field name and target matrix field name
Configuration simple deformation strategy, the correspondence between this simple deformation policy definition base data table field value and target matrix field value,
Configuration logic remedies, this logic transition policy definition base data table field value be to the logic transition of target matrix field value,
The configuration data Reproductive Strategy, the field propagation logic of data Reproductive Strategy definition base data table and field breeding quantity;
The instruction generation unit is configured to:
Generate the simple deformation instruction set according to the simple deformation strategy,
Change instruction set according to logic transition strategy formation logic,
According to data Reproductive Strategy generated data breeding instruction set;
Performance element is configured to:
Derivative according to the one or more executing datas in described simple deformation instruction set, logic transition instruction set and data breeding instruction set, obtaining target data from basic data, and,
Described target data is write target matrix.
11. device as claimed in claim 10 is characterized in that,
Described dispensing unit also is configured to configure the target data implementation mode;
Described performance element also is configured to according to the target data implementation mode, described target data be write target matrix.
12. device as claimed in claim 11 is characterized in that,
Described target data implementation mode comprises described target data is appended to write target matrix or described target data is covered and writes target matrix.
13. device as claimed in claim 10 is characterized in that,
Described simple deformation policy definition carries out cutting to correspond to the target matrix field value to the base data table field value.
14. device as claimed in claim 10 is characterized in that,
The base data table field value of described logic transition policy definition comprises logic deterministic process and logic screening process to the logic transition of target matrix field value.
15. device as claimed in claim 14 is characterized in that,
Described logic deterministic process comprises the value judgement of base data table field value and/or span judgement.
16. device as claimed in claim 14 is characterized in that,
Described logic screening process comprises the total head coupling screening of base data table field value and/or fuzzy matching screening.
17. device as claimed in claim 10 is characterized in that,
The major key propagation logic of described data Reproductive Strategy definition base data table and major key breeding quantity.
18. device as claimed in claim 10 is characterized in that,
Described performance element is carried out simple deformation instruction set, logic transition instruction set and data breeding instruction set successively to obtain target data from basic data.
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